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README.md

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@@ -8,6 +8,10 @@ Official PyTorch implementation and pre-trained models for the paper **AstroCLIP
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AstroCLIP is a novel, cross-modal, self-supervised foundation model that creates a shared embedding space for multi-band imaging and optical spectra of galaxies. These embeddings encode meaningful physical information shared between both modalities, and can be used as the basis for competitive zero- and few-shot learning on a variety of downstream tasks, including similarity search, redshift estimation, galaxy property prediction, and morphology classification.
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## Tutorial
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Check out a collab-native tutorial available on AstroCLIP here:
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https://colab.research.google.com/github/EiffL/Tutorials/blob/master/FoundationModels/AstroCLIPTutorial.ipynb
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## Web App
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Check out our interactive similarity search app, enabling both in-modal and cross-modal search for galaxies:
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https://astroclip.streamlit.app/

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